code: def test_normalize_keypoints(self):
      kpts = torch.randint(0, 100, (1, 5, 2))
      size = torch.tensor([[100, 100]])
      kpts = normalize_keypoints(kpts, size)
      assert torch.all(torch.abs(kpts) <= 1).item()
  
file_path: kornia/test/feature/test_lightglue_onnx.py
imports: import pytest
  import torch
  from kornia.feature import OnnxLightGlue
  from kornia.feature.lightglue_onnx.utils import normalize_keypoints
label_desc: Use image node_id 4 for calling the TestOnnxLightGlue obj's underlying member method code with example usage: obj.test_normalize_keypoints() without return types